Dashboards
Custom visualizations, drill-downs, and filters.
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The
Environment
Analysts Needed
Query, model, report, automate — in the tools you already know.
Works with the stack you already run
- MySQL
- PostgreSQL
- SQL Server
- Amazon Redshift
- BigQuery
- Snowflake
- Salesforce
- ClickHouse
- Databricks
- HubSpot
- MongoDB
- Oracle
- Google Sheets
- Spark SQL
- SQLite
- Airtable
- Slack
Analysts switch apps
1,200 times a day.
That's up to 40% of the day lost to switching. They bounce between 8 disconnected tools just to go from raw data to a deliverable — and burn 65% of their time moving data, context, and formatting between them. Veritly closes that gap in five moves.
Toggle count and switching cost: Harvard Business Review, 2022.
- 1Connect
Point Veritly at the databases, spreadsheets, CRM, and comms tools you already use.
- 2Ask
Ask in the words you'd use with a colleague. Veritly writes the query and shows you exactly what it ran.
- 3Build
Turn the answer into a chart, report, or dashboard without leaving the conversation to open another tool.
- 4Reuse
Every query, chart, and model works everywhere else in the platform.
- 5Automate
Turn any workflow into a scheduled job that runs on its own.
See it in motion.
Watch a real question go from plain English to governed SQL and a client-ready chart, in a couple of minutes.
Learn moreOne workspace
Office, Dashboards, AI, and Automations.
Office
Docs, sheets, slides, and PDFs on live, governed data.
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AI
Ask in plain English. Veritly writes the query and the answer.
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Automations
Connect steps into a pipeline. No code to maintain.
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Eight tools, or one environment.
Every tool in a normal analytics stack works. The cost isn't any one of them — it's the seams between them, and the fact that the same metric has to be re-explained to each one. That's the 65% of the day that disappears.
Compared on
Veritly
One environment
The usual stack
Four tools and a scheduler
Metric definitions
Where the number is actually decided
Defined once, read everywhere
One semantic model. Every dashboard, document, and job resolves through it.
Redefined per tool
The BI tool, the warehouse, and three spreadsheets each hold their own version.
Changing a definition
What happens when the business moves
Change it once
Everything built on the metric updates with it, and you can preview what moves first.
Chase every copy
Hunt down each place it was reimplemented and hope you found them all.
Getting an answer
The path from question to number
Ask in plain English
The answer arrives with the query that produced it, so you can check the work.
File a ticket and wait
Join the analyst's queue, then receive an export you can't interrogate.
Handing it to a client
Getting it in front of someone else
A live, permissioned view
They filter and drill it themselves, seeing only the rows you cleared them for.
Export, reformat, repeat
Paste into a deck, and do the whole thing again next quarter.
Proving the number
When someone challenges the figure
Lineage attached to every run
The query behind a figure is one click away, on the dashboard and in the archive.
Reconstruct it by hand
Trace the spreadsheet back through the export back through the query, from memory.
What you're running
The stack itself
One environment
Query, model, document, publish, and schedule without leaving the platform.
Eight tools with seams
Each one works. The cost is the gaps between them, and the context lost crossing each.
Veritly
One environment
Metric definitions
Defined once, read everywhere
One semantic model. Every dashboard, document, and job resolves through it.
Changing a definition
Change it once
Everything built on the metric updates with it, and you can preview what moves first.
Getting an answer
Ask in plain English
The answer arrives with the query that produced it, so you can check the work.
Handing it to a client
A live, permissioned view
They filter and drill it themselves, seeing only the rows you cleared them for.
Proving the number
Lineage attached to every run
The query behind a figure is one click away, on the dashboard and in the archive.
What you're running
One environment
Query, model, document, publish, and schedule without leaving the platform.
One environment. One definition of the number.
Comparing against a specific tool? Read the head-to-headsBuilt for the people who actually get asked.
Data teams
Drowning in ad-hoc requests?
Define the metrics once. You own the definitions, and the people asking answer their own questions against them.
Business teams
Tired of waiting three days for a number?
Get an answer straight from the chat, with enough behind it that you don't have to take it on faith.
Consultancies
Rebuilding the same report for every client?
Template the analysis, point it at a new dataset, and hand over a live dashboard instead of another static deck.
The reporting cycle runs itself.
The recurring work — the Monday refresh, the month-end pack, the "can you just check" request — happens on schedule and flags you when something moved.
Diagnose what moved the number
When a metric moves, Veritly decomposes it by segment and tells you which slice actually caused it.
Summaries land in Slack or email
Scheduled write-ups go out automatically on the schedule you set.
Look up a number from the chat
Ask from the chat and get the figure without breaking your flow to go find it.
Self-service that a data lead can sign off on.
Nothing gets migrated
Veritly reads from the warehouse you already run, so your data stays exactly where your security review already put it.
Permissions are enforced at the query
Row and column access is applied before results are returned, so a shared dashboard can't leak what the viewer was never allowed to see.
Change it on a branch first
Tune a metric definition in isolation, check what it does to downstream reports, and merge only when it's right.
Every run leaves a trail
Each scheduled job records what ran, against which data, and what changed — the audit trail a client review actually needs.
Stop rebuilding the same report by hand.
The Integrated Analysis Environment is in private beta. Join the waitlist and we'll bring you in as capacity opens up.
- Early access to the private beta
- A setup session with the team that built it
- Direct input on what ships next
Resources and News
The latest from Veritly
Frequently asked questions.
What is the Integrated Analysis Environment?
A single workspace for querying, modelling, reporting, and automating analytics — all reading from the same governed connection to your warehouse, so a number defined once is the same number everywhere it appears.
Do I need to migrate my data to use it?
No. Veritly connects to the warehouse you already run and builds a governed semantic model on top of it — your data stays where it is. Permissions are enforced at query time, inside the security perimeter you've already approved.
Is it available now?
Veritly is in private beta. Join the waitlist and we'll bring you in as capacity opens up — early access includes a setup session with the team that built it.
Who is Veritly built for?
Analysts, data teams, and consultancies who are tired of rebuilding the same report across a spreadsheet, a dashboard, and a slide deck every time the underlying data changes.
How is access controlled?
Row and column permissions are enforced before results are returned, so a shared view can't expose data the viewer was never cleared for — the same rules apply everywhere in the workspace.